Title : ( Estimating the Position of Underwater Targets Based on the Emission of Noise Caused by Spinning the Propeller of Surface Vessels )
Authors: Mojgan Mirzaei , Seyed Alireza Seyedin ,Abstract
The purpose of this article is to localize the underwater targets based on the reflecting the noise of the commercial ships propeller rotation from the targets. Full details of the commercial ships including the type of ships, their speed and geographic location are available using satellites and global positioning system (GPS). The proposed method has fewer challenges and limitations than existing mechanisms such as wireless sensor networks. In the proposed technique, the produced noise of spinning propellers (in avitation or non- cavitation mode) plays the role of pings in active sonars. The noise is continuously released from the propeller and is reflected from the underwater targets. The recurrent echo is continuously received by the towable hydrophone array. The geographic location of this array is available at any moment. Using the existing localization algorithms, position of target is determined. So this idea uses the existing signals in the environment for target localization. The proposed method was simulated by the COMSOL and MATLAB
Keywords
, Active sonar, Localization, Spinning propellers, Towable hydrophone array, Underwater targets@inproceedings{paperid:1089470,
author = {Mirzaei, Mojgan and Seyedin, Seyed Alireza},
title = {Estimating the Position of Underwater Targets Based on the Emission of Noise Caused by Spinning the Propeller of Surface Vessels},
booktitle = {6th Iranian Conference on Radar and Surveillance Systems},
year = {2019},
location = {اصفهان, IRAN},
keywords = {Active sonar; Localization; Spinning propellers; Towable hydrophone array; Underwater targets},
}
%0 Conference Proceedings
%T Estimating the Position of Underwater Targets Based on the Emission of Noise Caused by Spinning the Propeller of Surface Vessels
%A Mirzaei, Mojgan
%A Seyedin, Seyed Alireza
%J 6th Iranian Conference on Radar and Surveillance Systems
%D 2019